Research on brain white matter network in cerebral palsy infant_Journal of Biomedical Engineering

Authors：

LI Jun , YANG Cheng ,  WANG Yuanjun , NIE Shengdong

School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, P.R.China;

Corresponding author：

WANG Yuanjun, Email: yjusst@126.com

Keywords：

cerebral palsy; diffusion tensor imaging; white matter network; graph theory

DOI：

10.7507/1001-5515.201612044

Video：

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Present study used diffusion tensor image and tractography to construct brain white matter networks of 15 cerebral palsy infants and 30 healthy infants that matched for age and gender. After white matter network analysis, we found that both cerebral palsy and healthy infants had a small-world topology in white matter network, but cerebral palsy infants exhibited abnormal topological organization: increased shortest path length but decreased normalize clustering coefficient, global efficiency and local efficiency. Furthermore, we also found that white matter network hub regions were located in the left cuneus, precuneus, and left posterior cingulate gyrus. However, some abnormal nodes existed in the frontal, temporal, occipital and parietal lobes of cerebral palsy infants. These results indicated that the white matter networks for cerebral palsy infants were disrupted, which was consistent with previous studies about the abnormal brain white matter areas. This work could help us further study the pathogenesis of cerebral palsy infants.

Citation： LI Jun, YANG Cheng, WANG Yuanjun, NIE Shengdong. Research on brain white matter network in cerebral palsy infant. Journal of Biomedical Engineering, 2017, 34(5): 688-694. doi: 10.7507/1001-5515.201612044 Copy

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3.	Jain K K; Paliwal V K, Yadav A, et al. Cerebral blood flow and DTI metrics changes in children with cerebral palsy following therapy. Journal of Pediatric Neuroradiology, 2014, 3(2): 63-73.
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6.	Fiori S, Guzzetta A, Pannek K, et al. Validity of semi-quantitative scale for brain MRI in unilateral cerebral palsy due to periventricular white matter lesions: Relationship with hand sensorimotor function and structural connectivity. Neuroimage Clin, 2015, 8: 104-109.
7.	Pannek K, Boyd R N, Fiori S, et al. Assessment of the structural brain network reveals altered connectivity in children with unilateral cerebral palsy due to periventricular white matter lesions. Neuroimage Clin, 2014, 5: 84-92.
8.	Englander Z A, Pizoli C E, Batrachenko A A, et al. Diffuse reduction of white matter connectivity in cerebral palsy with specific vulnerability of long range fiber tracts. Neuroimage Clin, 2013, 2(1): 440-447.
9.	Englander Z A, Sun J, Case L, et al. Brain structural connectivity increases concurrent with functional improvement: evidence from diffusion tensor MRI in children with cerebral palsy during therapy. Neuroimage Clin, 2015, 7(2): 315-324.
10.	Rose S, Guzzetta A, Pannek K, et al. MRI structural connectivity,disruption of primary sensorimotor pathways,and hand function in cerebral palsy. Brain Connect, 2011, 1(4): 309-316.
11.	Sporns O, Tononi G, Kötter R. The human connectome: A structural description of the human brain. PLoS Comput Biol, 2005, 1(4): e42.
12.	Zhang Junran, Wang Jinhui, Wu Qizhu, et al. Disrupted brain connectivity networks in Drug-Naive, First-Episode major depressive disorder. Biol Psychiatry, 2011, 70(4): 334-342.
13.	Prasad G, Joshi S H, Nir T M, et al. Brain connectivity and novel network measures for Alzheimer's disease classification. Neurobiol Aging, 2015, 36(1): S121-S131.
14.	Lo C Y, Wang Peining, Chou K H, et al. Diffusion tensor tractography reveals abnormal topological organization in structural cortical networks in Alzheimer's disease. J Neurosci, 2010, 30(50): 16876-16885.
15.	Yao Zhijun, Zhang Yuanchao, Lin Lei, et al. Abnormal cortical networks in mild cognitive impairment and Alzheimer's disease. PLoS Comput Biol, 2010, 6(11): e1001006.
16.	Li Yonghui, Liu Yong, Li Jun, et al. Brain anatomical network and intelligence. Neuroimage, 2009, 5(5): e1000395.
17.	Rubinov M, Sporns O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage, 2010, 52(3): 1059-1069.
18.	Yan C G, Gong G L, Wang J H, et al. Anatomical connectivity patterns of human cerebral cortex are associated with brain size, sex and intelligence. Neuroimage, 2009, 47(Suppl1): S128.
19.	Gong Gaolang, Rosa-Neto P, Carbonell F, et al. Age- and Gender-Related differences in the cortical anatomical network. J Neurosci, 2009, 29(50): 15684-15693.
20.	Lenroot R K, Bassett D S, Clasen L S, et al. Developmental changes in topographic properties of anatomical networks in children and adolescents. Neuroimage, 2009, 47(Suppl1): S175.
21.	Crossley N A, Mechelli A, Scott J, et al. The hubs of the human connectome are generally implicated in the anatomy of brain disorders. Brain, 2014, 137(Pt 8): 2382-2395.
22.	Shu Ni, Liu Yong, Li Jun, et al. Altered anatomical network in early blindness revealed by diffusion tensor tractography. PLoS One, 2009, 4(9): e7228.
23.	Lezak M D, Howieson D B, Loring D W, et al. Neuropsychological assessment. AM J GERIAT PSYCHIAT, 2004, 162(6): 1237-1237.
24.	Bodimeade H L, Whittingham K, Lloyd O, et al. Executive function in children and adolescents with unilateral cerebral palsy. Dev Med Child Neurol, 2013, 55(10): 926-933.
25.	Weinstein J M, Gilmore R O, Shaikh S M, et al. Defective motion processing in children with cerebral visual impairment due to periventricular white matter damage. Dev Med Child Neurol, 2012, 54(7): e1-e8.

1. Aisen M L, Kerkovich D, Mast J, et al. Cerebral palsy: clinical care and neurological rehabilitation. Lancet Neurol, 2011, 10(9): 844-852.
2. Ashwal S, Russman B S, Blasco P A, et al. Practice parameter: diagnostic assessment of the child with cerebral palsy: report of the Quality Standards Subcommittee of the American Academy of Neurology and the Practice Committee of the Child Neurology Society. Neurology, 2009, 73(11): 887-897.
3. Jain K K; Paliwal V K, Yadav A, et al. Cerebral blood flow and DTI metrics changes in children with cerebral palsy following therapy. Journal of Pediatric Neuroradiology, 2014, 3(2): 63-73.
4. Faria A V, Hoon A, Stashinko E, et al. Quantitative analysis of brain pathology based on MRI and brain atlases-Applications for cerebral palsy. Neuroimage, 2011, 54(3): 1854-1861.
5. Scheck S M, Pannek K, Raffelt D A, et al. Structural connectivity of the anterior cingulate in children with unilateral cerebral palsy due to white matter lesions. Neuroimage Clin, 2015, 9: 498-505.
6. Fiori S, Guzzetta A, Pannek K, et al. Validity of semi-quantitative scale for brain MRI in unilateral cerebral palsy due to periventricular white matter lesions: Relationship with hand sensorimotor function and structural connectivity. Neuroimage Clin, 2015, 8: 104-109.
7. Pannek K, Boyd R N, Fiori S, et al. Assessment of the structural brain network reveals altered connectivity in children with unilateral cerebral palsy due to periventricular white matter lesions. Neuroimage Clin, 2014, 5: 84-92.
8. Englander Z A, Pizoli C E, Batrachenko A A, et al. Diffuse reduction of white matter connectivity in cerebral palsy with specific vulnerability of long range fiber tracts. Neuroimage Clin, 2013, 2(1): 440-447.
9. Englander Z A, Sun J, Case L, et al. Brain structural connectivity increases concurrent with functional improvement: evidence from diffusion tensor MRI in children with cerebral palsy during therapy. Neuroimage Clin, 2015, 7(2): 315-324.
10. Rose S, Guzzetta A, Pannek K, et al. MRI structural connectivity,disruption of primary sensorimotor pathways,and hand function in cerebral palsy. Brain Connect, 2011, 1(4): 309-316.
11. Sporns O, Tononi G, Kötter R. The human connectome: A structural description of the human brain. PLoS Comput Biol, 2005, 1(4): e42.
12. Zhang Junran, Wang Jinhui, Wu Qizhu, et al. Disrupted brain connectivity networks in Drug-Naive, First-Episode major depressive disorder. Biol Psychiatry, 2011, 70(4): 334-342.
13. Prasad G, Joshi S H, Nir T M, et al. Brain connectivity and novel network measures for Alzheimer's disease classification. Neurobiol Aging, 2015, 36(1): S121-S131.
14. Lo C Y, Wang Peining, Chou K H, et al. Diffusion tensor tractography reveals abnormal topological organization in structural cortical networks in Alzheimer's disease. J Neurosci, 2010, 30(50): 16876-16885.
15. Yao Zhijun, Zhang Yuanchao, Lin Lei, et al. Abnormal cortical networks in mild cognitive impairment and Alzheimer's disease. PLoS Comput Biol, 2010, 6(11): e1001006.
16. Li Yonghui, Liu Yong, Li Jun, et al. Brain anatomical network and intelligence. Neuroimage, 2009, 5(5): e1000395.
17. Rubinov M, Sporns O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage, 2010, 52(3): 1059-1069.
18. Yan C G, Gong G L, Wang J H, et al. Anatomical connectivity patterns of human cerebral cortex are associated with brain size, sex and intelligence. Neuroimage, 2009, 47(Suppl1): S128.
19. Gong Gaolang, Rosa-Neto P, Carbonell F, et al. Age- and Gender-Related differences in the cortical anatomical network. J Neurosci, 2009, 29(50): 15684-15693.
20. Lenroot R K, Bassett D S, Clasen L S, et al. Developmental changes in topographic properties of anatomical networks in children and adolescents. Neuroimage, 2009, 47(Suppl1): S175.
21. Crossley N A, Mechelli A, Scott J, et al. The hubs of the human connectome are generally implicated in the anatomy of brain disorders. Brain, 2014, 137(Pt 8): 2382-2395.
22. Shu Ni, Liu Yong, Li Jun, et al. Altered anatomical network in early blindness revealed by diffusion tensor tractography. PLoS One, 2009, 4(9): e7228.
23. Lezak M D, Howieson D B, Loring D W, et al. Neuropsychological assessment. AM J GERIAT PSYCHIAT, 2004, 162(6): 1237-1237.
24. Bodimeade H L, Whittingham K, Lloyd O, et al. Executive function in children and adolescents with unilateral cerebral palsy. Dev Med Child Neurol, 2013, 55(10): 926-933.
25. Weinstein J M, Gilmore R O, Shaikh S M, et al. Defective motion processing in children with cerebral visual impairment due to periventricular white matter damage. Dev Med Child Neurol, 2012, 54(7): e1-e8.

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